Beschreibung Graphik.
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.
The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.